code: def get_embeddable_pojo_source(model):
      pojo_path = model.download_pojo(
          path=os.path.join(
              pyunit_utils.locate("results"), model.model_id + ".java"
          )
      )
      return make_pojo_embeddable(pojo_path)
  
file_path: h2o-3/h2o-py/tests/testdir_generic_model/pyunit_pojo_import.py
imports: import h2o
  from h2o.estimators import H2OGradientBoostingEstimator, H2OGeneralizedLinearEstimator
  from tests import pyunit_utils
  import os
  import sys
  from pandas.testing import assert_frame_equal
label_desc: Use image node_id 3 for calling a global function with example usage: get_embeddable_pojo_source(model) and returns: make_pojo_embeddable